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Although the number of guest houses in China is increasing rapidly, many of them are not performing well in developing customer loyalty. Self-congruity and functional congruity represent two cost-effective but inadequately researched ways for guest houses to maintain customers. In view of the lack of empirical research explaining the post-purchase behavior of guest house customers, the purpose of this study is to develop a congruity-based customer loyalty model for this specialized type of accommodation.

Based on a review of relevant literature, a robust conceptual framework of customer loyalty comprising satisfaction, self-congruity, functional congruity, perceived value and attractiveness of alternates was constructed. By means of an online panel survey, 828 valid questionnaires were obtained from customers who had stayed in a Chinese guest house within the previous year. Structural equation modeling was conducted to test the conceptual model and the hypothesized relationships among the constructs.

Significant relationships were found between the two congruity constructs in guest houses, which both led to positive customer post-purchase behaviors. The authors found that self-congruity, functional congruity and the attractiveness of alternates did not affect customer loyalty directly; rather, they influenced loyalty indirectly through customer satisfaction.

This study developed a unique, congruity-based model of customer loyalty in the context of guest houses. It enhances the body of knowledge regarding congruity in the field of tourism and hospitality, and it discusses relevant implications of the findings for tourism marketing researchers and for owner-managers of guest houses.

虽然民宿增长迅速, 多数民宿在顾客忠诚上表现较差。自我一致性和功能一致性作为民宿维持顾客的有效手段, 在学术上研究较少。鉴于学界缺乏对民宿顾客购后行为的实证研究, 本研究试图构建一个基于一致性的民宿顾客忠诚模型。

在文献综述基础上, 我们构建了一个基于一致性的顾客忠诚模型。用在线样本库的方法调查了过去一年有过民宿住宿体验的顾客, 最终收集了828份有效问卷。

研究发现, 两个一致性表现对顾客的购后行为存在显著影响。同时, 本研究显示, 自我一致性, 功能一致性和替代者吸引力并不直接影响顾客忠诚, 而是通过影响顾客满意影响忠诚。

基于一致性的新视角, 民宿顾客忠诚模型被重塑。本研究可以加深对接待业自我一致性研究的理解, 并为旅游营销研究提供启示。论文最后还讨论了研究结果对民宿研究和管理者的启示。

Aunque el número de casas de huéspedes en China está aumentando rápidamente, muchas de ellas no están funcionando bien en el desarrollo de la lealtad del cliente. La autocongruencia y la congruencia funcional representan dos formas rentables pero inadecuadamente investigadas para que las casas de huéspedes mantengan clientes. En vista de la falta de investigación empírica que explique el comportamiento posterior a la compra de los clientes de la casa de huéspedes, el presente estudio busca desarrollar un modelo de lealtad del cliente basado en la congruencia para este tipo especializado de alojamiento.

Con base en una revisión de literatura relevante, construimos un marco conceptual robusto de lealtad del cliente que comprende satisfacción, autocongruencia, congruencia funcional, valor percibido y atractivo de alternativas. Mediante una encuesta de panel en línea, obtuvimos 828 cuestionarios válidos de clientes que se habían alojado en una casa de huéspedes china durante el año anterior. Se realizó un modelado de ecuaciones estructurales para probar el modelo conceptual y las relaciones hipotéticas entre los constructos.

Se encontraron relaciones significativas entre las dos construcciones de congruencia en las casas de huéspedes, lo que condujo a comportamientos positivos posteriores a la compra del cliente. Descubrimos que la autocongruencia, la congruencia funcional y el atractivo de las alternativas no afectaban directamente la lealtad del cliente; más bien, influyeron indirectamente en la lealtad a través de la satisfacción del cliente.

Este estudio desarrolló un modelo único de lealtad del cliente basado en la congruencia en el contexto de las casas de huéspedes. Mejora el conjunto de conocimientos sobre congruencia en el campo del turismo y la hospitalidad, y analiza las implicaciones relevantes de los hallazgos para los investigadores de marketing turístico y para los propietarios-gerentes de casas de huéspedes.

The use of modern technologies in restaurants has become a trend. For food and beverage services, embracing new technologies helps solve the dilemmas of increasing labor costs and the high level of staff turnover in the industry. However, knowledge regarding how consumers perceive and evaluate technology-assisted dining experiences (TADEs) is limited. This study aims to conceptualize and operationalize TADEs while considering increasing technological applications in restaurants.

This study conducted in-depth interviews with 71 restaurant consumers in Nanjing and Wuhan, China. Following the interviews, this study carried out a survey and identified the factor structure of TADEs.

The in-depth interviews identified 26 attributes of TADEs. An analysis of the survey data identified four important aspects (with 21 items) of TADEs, namely, novelty and fashion, convenience, high efficiency and restrictions and possible risks.

Hospitality managers can implement the suggested measures for dining service design and technology management to improve the experiences of customers.

These findings have theoretical implications for the new phenomenon of technology-integrated dining, the application of technology and consumer management in the catering industry.

This paper aims to investigate the influence of customer participation in services on the innovative behaviors of employees. Although previous studies have acknowledged the importance of customers in service innovation and investigated how customer participation in product development teams affect innovation, the effect of mandatory customer participation in services on the employee innovative behavior has not been examined. In addition to addressing such gap, this study proposed the mediating role of interpersonal trust in the relationship between customer participation and employee innovative behavior and then tested the hypotheses in a restaurant context.

A total of 514 valid questionnaires were collected from frontline employees or entry-level managers in 25 well-known restaurants (including 14 hotels and 11 freestanding restaurants) in Beijing, China. The relationships among customer participation, interpersonal trust and employee innovative behavior were examined using structural models analyzed in AMOS 20.0.

The structural equation modeling results indicate that customers’ information and emotional participation in services significantly influence the innovative behavior of employees, whereas behavioral participation does not. In addition, a high level of interpersonal trust between customers and employees may increase employee innovative behaviors. Moreover, unlike cognitive trust, affective trust mediates the relationship between customer information or emotional participation and employee innovative behavior.

Findings indicate that service firms can encourage customers to participate actively in service co-creation; their participation in terms of information is encouraged to foster employee innovative behaviors by training employees and establishing an appropriate climate for information exchange. Moreover, service firms must pay attention to the emotions of customers during the service processes. Furthermore, the affective trust between customers and employees is significant to service firms, which need to take measures for employees to manage their relationships with customers well.

Based on the concepts of service marketing and organizational behavior, this study contributes to the research on customer–employee co-production and employee innovative behavior from an interdisciplinary perspective. The study reveals the influencing mechanism of customer participation on employee innovative behavior and contributes to the research on customer–employee interpersonal trust. Previous studies emphasized the importance of trust among work group members in innovation, while this study supports the association between customer–employee interpersonal trust and employee innovative behaviors.

Hospitableness lies in the center of hospitality services. With the infusion of artificial intelligence (AI) technology in the hospitality industry, managers are concerned about how AI influences service hospitableness. Previous research has examined the consequences of AI technology based on customers’ assessment while ignoring the key players in service hospitableness – frontline employees (FLEs). This study aims to reveal how AI technology empowers FLEs physically, mentally and emotionally, facilitating hospitableness provision.

As the starting point, the instrument for AI-enabled service attributes was designed based on previous literature, hotel FLE interviews, expert panel and a pilot survey, and then validated using survey data. After that, a paired supervisor-employee sample was recruited in 15 hotels, and 342 valid questionnaires covering the constructs were obtained.

Factor analyses and measurement model evaluation suggest that the four factors, including anthropomorphic, entertainment, functional and information attributes, explain the construct of AI-enabled service attributes well, with high reliability and validity. Additionally, anthropomorphic, functional and information attributes of AI technology have been found to enable FLEs physically, mentally and emotionally, which further lead to increased service hospitableness. The entertainment attributes do not significantly reduce physical and mental fatigue but lead to positive emotions of FLEs significantly. Additionally, psychological job demand moderates the effects of AI-enabled service attributes on physical fatigue.

Practical implications can be made for AI technology application and hospitableness provision, in terms of AI technology analysis, job design and employee workload management.

This research contributes to understanding AI-enabled service attributes and their consequences, extends the conservation of resources theory to AI application context and promotes the research on service hospitableness.

An increasing number of immersive technologies have been adopted in museum tourism in response to shifting consumer habits in the digital era. In contrast, the authenticity experience of museum tourists relies on genuine relics, the environment and activities, which are ancient or traditional. This raises the question of whether tourists can perceive authenticity in immersive technology-based museum tourism. To address this question, this study aims to explore the impact of virtual reality (VR) attributes on tourists’ presence, tourism authenticity and subsequent behavioral intentions in virtual museums.

Data were collected via scenario-based surveys of participants who had taken virtual museum tours based on VR. A total of 174 effective questionnaires were collected for exploratory factor analysis via SPSS 25. Afterward, 597 questionnaires were obtained for confirmatory factor analysis and path analysis via Mplus 7.4.

A conceptual model of how VR attributes influence presence, authenticity and visit intention was developed. There is a chain intermediary between presence and visit intentions, from original authenticity to interactive authenticity and then to emotional authenticity. Technology readiness and museum familiarity moderate some relationships between VR attributes and presence.

The findings can guide museums in improving the use of VR. For example, managers can improve the quality of virtual systems and adopt various interactive forms to enhance tourists’ participation experiences.

These research findings contribute to the research area of immersive technology adoption, enhance the understanding of tourism authenticity in the new context of technology application and extend the presence-emotion-intention theory.

This study aims to conduct a comprehensive review of the literature on employee innovative behavior (EIB) in services. Based on the review, the conceptualization and operationalization of EIB are summarized, and the relationships between job characteristics and EIB are revealed.

Altogether, 143 papers examining EIB in services published in 56 journals, including top management and hospitality journals, during the period of 1995-2014 were reviewed.

Three approaches to examine EIB in services have been identified. The concept of EIB based on the reviewed papers is summarized. In addition, antecedents and consequences of EIB are reviewed. In particular, the role of job characteristics in EIB is discussed.

This study provides practitioners with a “one-stop” paper to enhance their understanding of the relationship among EIB, job characteristics and other relevant concepts. Implications for hospitality firms on stimulating the innovative behaviors of employees are also provided.

Owing to the particularity and importance of EIB in services, this review summarizes the current knowledge on this concept and its antecedents and provides directions for future research, especially on the relationship between job characteristics and EIB.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.

This study aims to analyze the basic information of visitors of the Macau Science Center to assess their leisure involvement, satisfaction and behavioral intention, along with the interaction of these factors. Suggestions are made for museum policy modifications to improve visitor experience quality.

The analysis methods used in this study included reliability, descriptive statistics, independent-samples t test, ANOVA, correlation analysis and regression analysis.

The results showed that there was no significant relationship between gender and satisfaction, involvement of leisure or behavioral intention; age and educational level had significant impacts on satisfaction, leisure involvement and behavioral intention; significant differences were found in terms of visitors’ point of geographic origin, namely, local residents, mainland residents and Hong Kong residents; occupation was found to have no significant impact on satisfaction, leisure involvement or behavioral intention; monthly income was found to have no significant impact on leisure involvement and behavioral intention, but did have a significant impact on satisfaction; number of visits had no significant impact; there was no significant difference in leisure involvement and behavioral intention among different types of visitors, but there was a significant difference in terms of satisfaction; and significant correlations were found between leisure involvement and behavioral intentions.

The value of this study is to identify problems and offer potential solutions for the improvement of the Macau Science Center by studying the leisure involvement, satisfaction and behavioral intention of museum visitors. The proposed measures can improve the visibility and quality of the science museum, attract additional visitors and improve Macau’s branding through promoting science education and tourism.

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.